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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Wednesday 26 September 2018

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Influence of knowledge on the innovation value chain performance in the product development process


Volume 3, Issue 2, June 2013, Pages 346–353

 Influence of knowledge on the innovation value chain performance in the product development process

Selma Regina Martins Oliveira1 and Roberto Sbragia2

1 Department of Business Administration, University of São Paulo, São Paulo, Brazil
2 Department of Business Administration, University of São Paulo, São Paulo, Brazil

Original language: English

Received 21 April 2013

Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Recently, relevant changes have made organizational boundaries more fluid and dynamic in response to the rapid pace of knowledge diffusion, and innovation and international competition. This helps to reconsider how to succeed with innovation. Thus, innovative companies make use of their capabilities to appropriate the economic value generated from their knowledge and innovations. Therefore, the supply of innovative products is presented as a quality standard in the race for pressing demands. It is true that a new product or process can represent the end of a series of knowledge initiatives and the beginning of a process of value creation, which, under conditions imposed by various parties, can produce efficient results in the global performance of the value chain. The present paper aims to contribute to the planning guidelines in the innovation value chain field. Therefore, it addresses the influence of the stakeholders' knowledge on the performance of innovation value chain in product development processes applied to technology-based companies. Thus, a survey was developed with experts chosen by their technical-scientific criteria and knowledge on the subject. The data were extracted by means of a judgment matrix. To reduce subjectivity in the results, the following methods were used: Law of Categorical Judgment - psychometric scaling and the Compromise Programming - multi-criteria analysis and Electre III. The data were satisfactory, validating the methodological procedures presented.

Author Keywords: Knowledge, Innovation Value Chain, Product Development Process, High-Tech Industries.


How to Cite this Article


Selma Regina Martins Oliveira and Roberto Sbragia, “Influence of knowledge on the innovation value chain performance in the product development process,” International Journal of Innovation and Applied Studies, vol. 3, no. 2, pp. 346–353, June 2013.